{"id":"https://openalex.org/W2516196108","doi":"https://doi.org/10.21437/interspeech.2016-14","title":"Glimpse-Based Metrics for Predicting Speech Intelligibility in Additive Noise Conditions","display_name":"Glimpse-Based Metrics for Predicting Speech Intelligibility in Additive Noise Conditions","publication_year":2016,"publication_date":"2016-08-29","ids":{"openalex":"https://openalex.org/W2516196108","doi":"https://doi.org/10.21437/interspeech.2016-14","mag":"2516196108"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2016-14","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2016-14","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2016","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://usir.salford.ac.uk/id/eprint/40054/1/0014.PDF","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102013534","display_name":"Yan Tang","orcid":"https://orcid.org/0000-0003-1149-4272"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan Tang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101969969","display_name":"Martin Cooke","orcid":"https://orcid.org/0000-0002-9514-3332"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin Cooke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2488","last_page":"2492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12222","display_name":"IoT-based Smart Home Systems","score":0.9666000008583069,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7809088230133057},{"id":"https://openalex.org/keywords/timer","display_name":"Timer","score":0.6168088912963867},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5652305483818054},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5212491154670715},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.501598596572876},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.45772111415863037},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.2874801754951477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1911698579788208},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10116979479789734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7809088230133057},{"id":"https://openalex.org/C2776633867","wikidata":"https://www.wikidata.org/wiki/Q186612","display_name":"Timer","level":3,"score":0.6168088912963867},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5652305483818054},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5212491154670715},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.501598596572876},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45772111415863037},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2874801754951477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1911698579788208},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10116979479789734}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2016-14","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2016-14","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2016","raw_type":"proceedings-article"},{"id":"pmh:oai:usir.salford.ac.uk:40054","is_oa":true,"landing_page_url":null,"pdf_url":"http://usir.salford.ac.uk/id/eprint/40054/1/0014.PDF","source":{"id":"https://openalex.org/S4306401501","display_name":"University of Salford Institutional Repository (University of Salford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I54459138","host_organization_name":"University of Salford","host_organization_lineage":["https://openalex.org/I54459138"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":{"id":"pmh:oai:usir.salford.ac.uk:40054","is_oa":true,"landing_page_url":null,"pdf_url":"http://usir.salford.ac.uk/id/eprint/40054/1/0014.PDF","source":{"id":"https://openalex.org/S4306401501","display_name":"University of Salford Institutional Repository (University of Salford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I54459138","host_organization_name":"University of Salford","host_organization_lineage":["https://openalex.org/I54459138"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5099999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311740","display_name":"University of Salford Manchester","ror":"https://ror.org/01tmqtf75"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2516196108.pdf"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W2058632086","https://openalex.org/W2154478511","https://openalex.org/W2289738957","https://openalex.org/W2325877089","https://openalex.org/W2744745684","https://openalex.org/W2785903266","https://openalex.org/W2799020319","https://openalex.org/W2800732852","https://openalex.org/W2906115618","https://openalex.org/W2911014281","https://openalex.org/W2943717074","https://openalex.org/W2945810946","https://openalex.org/W2962813473","https://openalex.org/W2964228239","https://openalex.org/W2984986659","https://openalex.org/W2986211651","https://openalex.org/W3022545432","https://openalex.org/W3043919840","https://openalex.org/W3047238104","https://openalex.org/W3084953801","https://openalex.org/W3098367833","https://openalex.org/W3109895324","https://openalex.org/W3113228398","https://openalex.org/W3120934607","https://openalex.org/W3120936939","https://openalex.org/W3128664479","https://openalex.org/W3142803479","https://openalex.org/W3148666712","https://openalex.org/W3159562992","https://openalex.org/W3161911289","https://openalex.org/W3166245994","https://openalex.org/W3176742893","https://openalex.org/W3183073652","https://openalex.org/W3201121203","https://openalex.org/W4210838854","https://openalex.org/W4214948608","https://openalex.org/W4225589992","https://openalex.org/W4238084804","https://openalex.org/W4285110229","https://openalex.org/W4292567342","https://openalex.org/W4296251269","https://openalex.org/W4297231399","https://openalex.org/W4302363031","https://openalex.org/W4303712284","https://openalex.org/W4310596280","https://openalex.org/W4312652047","https://openalex.org/W4316022144","https://openalex.org/W4318014814","https://openalex.org/W4364377616","https://openalex.org/W4365790357","https://openalex.org/W4375798908","https://openalex.org/W4379409146","https://openalex.org/W4379929708","https://openalex.org/W4381598461","https://openalex.org/W4381805319","https://openalex.org/W4383532459","https://openalex.org/W4384519104","https://openalex.org/W4384786407","https://openalex.org/W4386933640","https://openalex.org/W4387757448"],"related_works":["https://openalex.org/W2360439717","https://openalex.org/W2388292776","https://openalex.org/W2765214557","https://openalex.org/W2361181213","https://openalex.org/W1031622928","https://openalex.org/W2350005463","https://openalex.org/W2347554032","https://openalex.org/W4293162581","https://openalex.org/W1459934432","https://openalex.org/W4313647964"],"abstract_inverted_index":{"The":[0,33,62,122],"glimpsing":[1],"model":[2],"of":[3,30,41,49,65,79,105,135,149,178,192],"speech":[4,23,52,75,181,193],"perception":[5],"in":[6,76,169],"noise":[7],"operates":[8],"by":[9],"recognising":[10],"those":[11],"speech-dominant":[12,112],"spectro-temporal":[13,113],"regions,":[14],"or":[15,143,164],"glimpses,":[16],"that":[17,175],"survive":[18],"energetic":[19,55],"masking;":[20,107],"hence,":[21],"a":[22,38,100,127,190],"recognition":[24],"component":[25,101],"is":[26,68],"an":[27],"integral":[28],"part":[29],"the":[31,47,77,103,108,119,146,150,166],"model.":[32],"current":[34],"study":[35],"evaluates":[36],"whether":[37],"simpler":[39],"family":[40],"metrics":[42,67,85,123,162],"based":[43],"solely":[44],"on":[45,118],"quantifying":[46],"amount":[48],"supra-threshold":[50,180],"target":[51],"available":[53],"after":[54],"masking":[56,197],"can":[57,182],"account":[58],"for":[59,70,187],"subjective":[60],"intelligibility.":[61],"predictive":[63,147],"power":[64,148],"glimpse-based":[66],"compared":[69,125],"natural,":[71],"processed":[72],"and":[73,81,93,140,152,195],"synthetic":[74],"presence":[78],"stationary":[80],"fluctuating":[82],"maskers.":[83],"These":[84,172],"are":[86,124],"raw":[87,151],"glimpse":[88,91],"proportion,":[89,92],"extended":[90,153],"two":[94],"further":[95],"refinements:":[96],"one,":[97],"FMGP,":[98],"incorporates":[99],"simulating":[102],"effect":[104],"forward":[106],"other,":[109],"HEGP,":[110],"selects":[111],"regions":[114],"with":[115,155],"above-average":[116],"energy":[117],"noisy":[120],"speech.":[121],"alongside":[126],"state-of-the-art":[128,167],"non-glimpsing":[129],"metric,":[130],"using":[131],"three":[132],"large":[133],"datasets":[134],"listener":[136],"scores.":[137],"Both":[138],"FMGP":[139],"HEGP":[141],"equal":[142,163],"improve":[144],"upon":[145],"metrics,":[154],"across-masker":[156],"correlations":[157],"ranging":[158],"from":[159],"0.81--0.92;":[160],"both":[161],"exceed":[165],"metric":[168],"all":[170],"conditions.":[171,198],"outcomes":[173],"suggests":[174],"easily-computed":[176],"measures":[177],"unmasked,":[179],"serve":[183],"as":[184],"robust":[185],"proxies":[186],"intelligibility":[188],"across":[189],"range":[191],"styles":[194],"additive":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
